ADS8883IDRCT vs TLV2548MPWREP

Part Number
ADS8883IDRCT
TLV2548MPWREP
Category Data Acquisition - Analog to Digital Converters (ADC) Data Acquisition - Analog to Digital Converters (ADC)
Manufacturer Texas Instruments Texas Instruments
Description IC ADC 18BIT SAR 10VSON IC ADC 12BIT SAR 20TSSOP
Package Tube Tape & Reel (TR)
Series microPOWER™ -
Features - -
Operating Temperature -40°C ~ 85°C -55°C ~ 125°C
Mounting Type Surface Mount Surface Mount
Package / Case 10-VFDFN Exposed Pad 20-TSSOP (0.173\", 4.40mm Width)
Supplier Device Package 10-VSON (3x3) 20-TSSOP
Reference Type External External, Internal
Sampling Rate (Per Second) 680k 200k
Data Interface SPI SPI
Number of Bits 18 12
Voltage - Supply, Analog 2.7V ~ 3.6V 3V ~ 5.5V
Voltage - Supply, Digital 1.65V ~ 3.6V 3V ~ 5.5V
Number of Inputs 1 8
Input Type Differential Single Ended
Configuration S/H-ADC MUX-S/H-ADC
Ratio - S/H:ADC 1:1 1:1
Number of A/D Converters 1 1
Architecture SAR SAR
  • 1. How does ADC convert analog to digital?

    The technology that converts analog sound signals into digital signals is called analog-to-digital conversion technology (Analog to Digital Converter, referred to as ADC). The function of ADC is to convert continuously changing analog signals into discrete digital signals. The process of analog-to-digital conversion can be completed by steps such as sampling, holding, quantization, and encoding.

  • 2. What is the main purpose of ADC?

    The main purpose of ADC is to convert the input analog signal into a digital signal.
    ADC, or analog-to-digital converter, is mainly used to convert continuously changing analog signals into discrete digital signals. The implementation process of ADC usually includes four steps: sampling, holding, quantization, and encoding.

  • 3. What process converts analog to digital?

    There are three basic processes for analog to digital conversion:
    The first process is "sampling", which is to extract the sample value of the analog signal at equal intervals to turn the continuous signal into a discrete signal.
    The second process is called "quantization", which is to convert the extracted sample value into the closest digital value to represent the size of the extracted sample value.
    The third process is "encoding", which is to represent the quantized value with a set of binary digits. After these three processes, the digitization of the analog signal can be completed. This method is called "pulse encoding".
    After the digital signal is transmitted to the receiving end, a restoration process is required, that is, the received digital signal is converted back to an analog signal so that it can be understood by the receiver. This process is called "digital-to-analog conversion", which reproduces it as sound or image.

  • 4. Why do we need analog-to-digital converters?

    The reasons why we need analog-to-digital converters mainly include the following:
    Digital system processing: Many computers and electronic devices are digital systems, which are more suitable for processing digital signals. Analog signals are difficult to process in digital systems, and after analog-to-digital conversion, the signals can be represented, stored and processed in digital form.
    Noise immunity: Digital signals are more noise-resistant than analog signals. Digital signals can be protected and restored by means such as error correction codes, while analog signals are easily interfered by noise.
    Accuracy: Digital signals are more accurate because they can be represented with higher resolution. Analog signals have accuracy limitations, and analog-to-digital conversion can improve the resolution of the signal.
    Application scenarios: Analog-to-digital converters are widely used in many fields, including automatic control systems, audio and video processing, sensor interfaces

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